Staff Fullstack Engineer - Data Products - Gitlab - Remote, India

As a Staff Fullstack Engineer - Data Products, you will help build GitLab's in-product insights on top of the Data Insights Platform and the GitLab Knowledge Graph. You will be the technical anchor across reporting dashboards, inbound graph ingestion, and outbound data delivery, helping turn software delivery data into reliable and actionable intelligence for customers and internal teams. This is a strong fit if you want to work in a 0 to 1 space where you can shape what gets built, make early architectural choices, and guide work from specification through production health. In this role, you will provide technical guidance across your domain, partner closely with Product, Design, and backend teams, and own outcomes across GitLab.com, Dedicated, and Self-Managed environments as we build out this area. What you’ll do Architect how GitLab and third-party data is ingested, modeled, and synchronized into the Knowledge Graph as a near-real-time graph of the development ecosystem. Coordinate integration with external systems such as Jira, observability tools, Zendesk, and ServiceNow to add business context to data products. Design the Data Marketplace so customers can consume GitLab data through Snowflake, Databricks, and BigQuery without engineering handoffs. Publish GitLab observability data as OpenTelemetry and support the APIs used for data access. Define operational readiness for the systems your team ships across GitLab.com, Dedicated, and Self-Managed deployments. Translate ambiguous product problems into practical technical plans and iterative roadmaps in partnership with Product, Design, and the graph backend team. Resolve cross-team coordination with Graph Backend, AI Platform, and Infrastructure to keep delivery moving. Mentor senior and intermediate engineers through design reviews, pairing, and code review. What you’ll bring Experience owning product or platform systems end to end across multiple engineering and product teams at the staff level. Strong fullstack technical skills with proficiency in Go, Ruby, and Node. Depth in at least one area such as reporting and metrics platforms, graph data systems, or data access and warehouse integrations including Snowflake, Databricks, or BigQuery. Hands-on experience building production data ingestion, systems integrations, or data access capabilities. Experience operating multi-tenant systems across both SaaS and self-managed environments. Strong judgment in ambiguity, with the ability to make tradeoffs, create clarity, and move early-stage work forward. Clear written communication skills, including architecture proposals and design records that help distributed teams make progress asynchronously. A practical and proactive approach to collaboration, with transferable experience welcomed from adjacent platform, data, or product engineering backgrounds. About the team The Data Products team is building the foundation for how GitLab turns software delivery data into reliable, interoperable, and actionable intelligence for customers and internal teams. Our scope includes Software Engineering Intelligence, dashboard and reporting frameworks, external data access and output, and internal and external data ingestion across areas such as DORA metrics, value stream reporting, AI impact, software delivery trends, security and quality metrics, custom reporting, data access APIs, OpenTelemetry-based output, and ingestion into the Knowledge Graph and Data Insights Platform. We work in a high-ambiguity, high-impact space, and we collaborate closely across product and platform groups using GitLab's asynchronous, distributed way of working. Benefits to support your health, finances, and well-being include Flexible Paid Time Off, Team Member Resource Groups, Equity Compensation & Employee Stock Purchase Plan, Growth and Development Fund, Parental Leave. Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application.